In the context of MBRL, [1]} combines MB trajectory optimization with VF estimation. [2]} uses model predictive path integrals [3]} in a \(Q\) -learning setting, and [4]} shows that combining MPC with VF approximation yields optimal policies, however considering the true dynamics.
